# Fairness: Programming exercise

The following exercise demonstrates how to audit data sets with fairness in
mind, and how to employ bias-remediation strategies to address fairness
issues:
[<button>Open fairness exercise</button>](https://colab.research.google.com/github/google/eng-edu/blob/main/ml/cc/exercises/fairness_income.ipynb?utm_source=mlcc&utm_campaign=colab-external&utm_medium=referral&utm_content=fairness)

Programming exercises run directly in your browser (no setup
required!) using the [Colaboratory](https://colab.research.google.com)
platform. Colaboratory is supported on most major browsers, and is most
thoroughly tested on desktop versions of Chrome and Firefox.
[Help Center](https://support.google.com/machinelearningeducation)